Abstract
Surgery outcome prediction based on neuroimaging has great potential and importance in the clinical practice. In this project we propose to use machine learning approaches to 1) perform a variety of functional and structural analysis of EEG-fMRI and other functional and structural MRI datasets, including modern techniques (eg: segmentation of brain structures using multi-atlas approaches,…